Results 221 to 230 of about 108,365 (267)
Circuit Design in Biology and Machine Learning. II. Anomaly Detection. [PDF]
Frank SA.
europepmc +1 more source
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra +23 more
wiley +1 more source
Correction: Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach. [PDF]
Mashiko S +4 more
europepmc +1 more source
Online Rocket Telemetry Anomaly Detection based on Integrated LSTM Model
Fuke Wang +4 more
openalex +1 more source
A multifunctional, 3D porous neural interface combines non‐viral gene delivery and NIR optogenetics to enable minimally invasive, closed‐loop modulation of deep‐brain circuits. Abstract Closed‐loop neuromodulation requires precise, stable, and cell‐specific control of neural circuits with minimal invasiveness.
Chao‐Yi Chu +14 more
wiley +1 more source
Genomic Anomaly Detection with Functional Data Analysis. [PDF]
Kanjilal R +4 more
europepmc +1 more source
Multicomponent alloys, such as high‐entropy alloys (HEAs), are considered to be in a random solid solution. However, recent studies have shown that short‐range ordering (SRO) is prevalent in these HEAs due to multipairwise interactions among the constituent elements, which can be deleterious.
Moses A. Adaan‐Nyiak +8 more
wiley +1 more source
A Context-Adaptive Hyperspectral Sensor and Perception Management Architecture for Airborne Anomaly Detection. [PDF]
Eckel L, Stütz P.
europepmc +1 more source

